Huanghuayu Multiclass Brier Score

---
name: huanghuayu-multiclass-brier-score
description: Compute huanghuayu/multiclass_brier_score via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of huanghuayu/multiclass_brier_score.
metadata:
  skill_kind: metric
  source_lib: huggingface-evaluate
  hf_module: huanghuayu/multiclass_brier_score
  source: library_introspection
---

# huanghuayu-multiclass-brier-score

> Metric `huanghuayu/multiclass_brier_score` from the HuggingFace `evaluate` library.

## When to invoke

User asks to compute `huanghuayu/multiclass_brier_score` or wants HF evaluate's canonical version.

## Recipe

```python
import evaluate
metric = evaluate.load("huanghuayu/multiclass_brier_score")
result = metric.compute(predictions=preds, references=refs)
print(result)
```

## Don'ts

- Don't assume your in-house `huanghuayu/multiclass_brier_score` matches HF — version conventions vary.
- Many evaluate metrics have task-specific arguments (`average=`, `lang=`, `model_type=`); read the metric card before reporting numbers.